Quantum Information Computing: Adaptive Correction Mechanisms

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum information processing offers unprecedented computational power, but faces significant challenges related to noise and decoherence. This paper explores a novel adaptive correction mechanism for quantum computers, leveraging the unique properties of quantum entanglement to mitigate noise and dynamically adjust qubit states. We propose a system that utilizes entangled qubit states to suppress unwanted fluctuations and enhance the fidelity of quantum computations. This approach aims to improve the performance of quantum algorithms and enhance their robustness against environmental disturbances. The core claim is that this adaptive correction mechanism significantly improves the efficiency and accuracy of quantum computations compared to existing methods. This research introduces a practical implementation of this concept, demonstrating its potential to address key limitations of current quantum computing architectures.

DOI: 10.5281/zenodo.22279967

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